Observation of Diurnal Variation of Urban Microclimate in ...Husna Aini Swarno a, Sheikh Ahmad Zaki...
Transcript of Observation of Diurnal Variation of Urban Microclimate in ...Husna Aini Swarno a, Sheikh Ahmad Zaki...
CHEMICAL ENGINEERING TRANSACTIONS
VOL. 56, 2017
A publication of
The Italian Association of Chemical Engineering Online at www.aidic.it/cet
Guest Editors: Jiří Jaromír Klemeš, Peng Yen Liew, Wai Shin Ho, Jeng Shiun Lim Copyright © 2017, AIDIC Servizi S.r.l.,
ISBN 978-88-95608-47-1; ISSN 2283-9216
Observation of Diurnal Variation of Urban Microclimate in
Kuala Lumpur, Malaysia
Husna Aini Swarnoa, Sheikh Ahmad Zakia, Yusri Yusupb, Mohamed Sukri Mat Alia,
Nurul Huda Ahmadc
a Malaysia Japan International Institute of Technology, UTM Kuala Lumpur, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur,
Malaysia b Environmental Technology, School of Industrial Technology, Universiti Sains Malaysia, 11800 Gelugor, Penang, Malaysia c UTM Razak School of Engineering and Advanced Technology, UTM Kuala Lumpur, Jalan Sultan Yahya Petra, 54100
Kuala Lumpur, Malaysia
To realise sustainable urban architecture and design in tropical climate conditions, a quantitative understanding
of the urban microclimate of a real tropical city through long-term measurements is crucial. The target city of
this work, which is Kuala Lumpur, Malaysia, is classified to be within the tropical rainforest climate zone. Data
were collected for a full-year study (March 2014 – February 2015) using a weather station installed in a university
campus located in Kuala Lumpur. Parameters such as air temperature, relative humidity, solar radiation, wind
speed and direction, and rainfall were recorded and analysed at hourly, daily, and monthly time scales. The
results showed that the ranges of the urban microclimate parameters were large: the average wind speed
ranged between 0 – 2 m/s, solar radiation was 100 – 200 W/m² and relative humidity 60 – 90 %. The results
suggest that the urban microclimatic parameters were influenced by both monsoon seasons and the urban
surface.
1. Introduction
Growing urbanisation and industrialisation have caused the deterioration of the urban environment. Oke et al.
(1991) discovered that, due to land cover conversion, air temperature in densely built urban areas is significantly
higher than in rural areas. This phenomenon is known as the urban heat island (UHI), instigated by the
construction of buildings made from low-thermal capacity material, prevalence of heat-storing street canyon
geometries, and increased greenhouse gas emissions. In urban areas, if the supply of mass or energy is greater
than the physical capability of the local atmospheric system to remove it, the system’s mass or energy content
will increase, altering the climate system of the area (Roth, 2007) hence, creating the urban microclimate.
Most studies on the microclimate have been conducted in western mid-latitude regions and rarely in tropical and
equatorial developing countries such as South East Asian countries (Yusup and Lim, 2014). The atmosphere
above urban areas experiences unstable or convective conditions because of heat radiation from roads,
buildings, and other man-made structures, which intensify mass and energy exchanges within the rough urban
sub-layer. This phenomenon is known to keep the urban boundary layer well mixed diurnally (Yusup and Anis,
2016).
Climate change and air pollution have attracted widespread attention in many developed nations, such as
Japan, the United States, and countries within the European Union. Roth (2007) comprehensively summarised
research on anthropogenic climate modification and reported that the majority of work in the literature has
primarily been performed in mid-latitude and developed countries. The Basel UrBan Boundary Layer Experiment
(BUBBLE) project in the city of Basel, Switzerland (Rotach et al., 2005) and the Tokyo Kugahara observation
(Moriwaki and Kanda, 2004) were large-scale projects of atmospheric measurements undertaken in cities of
mid-latitude countries, which greatly contributed to the understanding of the modification mechanism of the
DOI: 10.3303/CET1756088
Please cite this article as: Swarno H.A., Zaki S.A., Yusup Y., Ali M.S.M., Ahmad N.H., 2017, Observation of diurnal variation of urban microclimate in kuala lumpur, malaysia., Chemical Engineering Transactions, 56, 523-528 DOI:10.3303/CET1756088
523
urban microclimate. Other studies were performed in arid regions, such as Mexico City (Doran et al., 1998),
Savannah, Miami (Newton et al., 2007), and the subtropical, but dry city of Ouagadougou (Offerle et al., 2005).
In recent years, scientists from developing countries, have returned to their home countries to conduct research
on their urban microclimates. However due to limited resources, the majority of current research is conducted
as isolated studies of small-scale urban phenomena. For example, Syahidah et al. (2015) took field
measurements of temperature distribution using Geographical Information Systems (GIS) to understand the
effect of green coverage and building morphology on the microclimate of an urban campus in Kuala Lumpur.
However, data on energy fluxes (latent and sensible heat) measurements and other microclimate
measurements, valid and crucial aspects of urban microclimate research, remains limited.
Populations of tropical developing countries are likely to grow exponentially and thus, are expected to worsen
the urban microclimate and exacerbate existing environmental issues such as air pollution. In order to
understand sustainable urban design and architecture that suit the tropical climate, an in-depth understanding
of the urban physical mechanisms through long-term measurements is highly warranted. Thus, this work reports
preliminary microclimate measurements in a tropical city carried out for a full year, from March 2014 to February
2015, which allows us to better understanding the tropical urban microclimate.
2. Methodology
Kuala Lumpur, the capital of Malaysia, encompasses an area of 243 km². It is one of the fastest-growing
metropolitan regions in Southeast Asia. Kuala Lumpur consists of the city centre and the surrounding urban
areas. In 2015, the Malaysian Department of Statistics estimated its population to be 1.73 million. Based on the
Köppen classification system, Kuala Lumpur lies within the tropical rainforest climate. Universiti Teknologi
Malaysia (UTM) at Jalan Sultan Yahya Petra, Kuala Lumpur (UTM KL; N 3°10’22.8”, E 101°43’14.88”) was
chosen as our study area because it is located in the heart of Kuala Lumpur.
Urban microclimate data were collected from a weather station located in the campus of UTM KL on the rooftop
of the Malaysia-Japan International Institute of Technology (MJIIT) building (Figure 1). The station was installed
at a height of 68 m and consisted of a cup anemometer (Wind Sentry Anemometer, Campbell Scientific), rainfall
gauge (RIMCO8000, Campbell Scientific), temperature and relative humidity probe (CSL Temp/RH Probe SDI,
Campbell Scientific), and a pyranometer (Apogee Silicon, Campbell Scientific). Data were collected continuously
at 10 min interval and stored in a data logger (CR1000, Campbell Scientific) from 1 March 2014 to 28 February
2015. The data also consist of hourly wind records over this one-year period.
(a) (b) (c)
Figure 1: (a) Location of the weather station on the rooftop of (MJIIT); (b) the weather station on the MJIIT
rooftop; (c) the campus area, black circle indicates the location of the weather station.
3. Results and Discussion
3.1 Data Seasonal Description and Frequency Distribution of Urban Microclimate Parameters
The general Malaysian weather is influenced by monsoon seasons. Three distinct monsoon seasons were
observed at this location: the Northeast Monsoon (from November to March), the Southwest Monsoon (from
May to September), and the transition monsoons in the months of April and October. This observation is
consistent with that in literature (Nik et al., 2011). According to Toggweiler and Key (2001), monsoon will alter
cloudiness, wind speed and wind direction, producing distinct seasonal patterns. For example, during the
Northeast Monsoon, wind speed will be the highest from November to February while wind speed will be lower
in November but more consistent between December and March.
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Figure 2 displays the frequency distribution of the urban microclimate parameters for one year (March 2014 to
February 2015), namely air temperature, wind speed, wind direction, relative humidity, and solar radiation. The
wind speed ranged between 1 – 2 m/s (Figure 2(c)), which is common in an urban area due to increased surface
roughness. The wind was channelled, whereby the wind direction was mostly southerly (200°) (Figure 2(e)) due
to obstructions on the urban surface. Interestingly, air temperature was generally low, which ranged between
26 °C and 30 °C and a peak at 28 °C. However, the distribution of air temperature exhibited a bi-modal
distribution, which highlights increased temperature in the right-tail of the distribution and a second peak at
approximately 30 °C (refer to Figure 2(a)) possibly due to UHI. Overall lowered temperature was due to high
total rainfall, which was from 300 – 400 mm (see Figure 4(a)). This high total rainfall decreased the air
temperature and solar radiation but increased relative humidity. Since the highest rainfall was recorded in 2014,
the relative humidity was also the highest in this period (in the range 60 – 90 %; Figure 2(b)) with decreased
solar radiation of 100 – 200 W/m² due to increased rain clouds (Figure 2(d)).
(a) (b)
(c) (d) (e)
Figure 2: Frequency distribution of (a) air temperature (°C), (b) relative humidity (%), (c) mean wind speed (m/s),
(d) solar radiation (W/m²), and (e) wind direction (°) for a one-year period from March 2014 to February 2015.
3.2 Trends of Hourly-averaged Urban Microclimate Parameters
Wind speed is an important parameter in urban areas, which influence the outdoor and indoor comfort, air quality
and energy consumption of buildings. During our study, the hourly wind speed was relatively high (1.5 – 2.5
m/s) between 8:00 AM and 5:00 PM (local time) but only started to decline after 4:00 PM (Figure 3(a)). During
the day, as the sun heats the air, air particles become more active as differently heated parcels of air rise, fall,
and move about in relation to each other to achieve an equilibrium state. As a result, it is generally windier during
daytime compared to night-time. According to Oke (1987), UHI occurs during both day and night however, the
maximum effect of UHI only occurs 3 – 5 h after sunset. This is because the urban area conserve much of its
heat in roads, buildings and other structures that prevent it from cooling at night. Therefore, coupled with
generally low wind speed, the night-time urban air temperature can be higher than it would be in rural areas, as
observed in this study.
Figure 3(b) shows the hourly average air temperature. Air temperature increased from 6:00 AM to 1:00 PM and
declined at 2:00 PM. The declination of air temperature was caused by the increase of wind speed at 2:00 PM.
This is because wind has a cooling effect, which helps to mitigate the adverse effect of UHI on the urban
microclimate and human thermal comfort. In Singapore, wind speed ranged between 1 and 1.5 m/s, which
created a cooling effect equivalent to a 2 °C drop in temperature (Erell et al., 2010).
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(a) (b)
Figure 3: Diurnal (a) mean wind speed (m/s) and (b) air temperature (°C) for every month from March 2014 to
February 2015.
3.3 Trends of Monthly-averaged Urban Microclimate Parameters
The recorded total rainfall were analysed monthly and plotted with air temperature, to determine if any possible
variation of air temperature with rainfall exists (see Figure 4(a)). The highest mean temperature (30 °C) was
recorded in June 2014, which coincided with the lowest total rainfall of 120 mm whilst the highest total rainfall
(380 mm), which led to the lowest mean air temperature of 27 °C, occurred in April 2014. The variation of
temperature and rainfall change due to the anthropogenic heat factor, which is heat released from transportation
and residential buildings. According to Ichinose et al. (1999), this heat can greatly affect the urban environment
by directly changing the surface air temperature and modify the urban boundary layer structure as well as
rainfall. Since there is a relationship between rainfall and air temperature thus, the urban environment is
dependent on rainfall to lower its overall temperature.
Monthly mean wind speed in December 2014 was slightly higher than in other months (from 0.7 m/s to 1.5 m/s)
but still fell within the average range of wind speed in Kuala Lumpur (see Figure 4(b)). The mean monthly wind
direction in Kuala Lumpur was less than 200° (from the southeast), except for March 2014, January 2015, and
February 2015 with southwest winds (Figure 4(e)). These variations are likely due to Monsoon seasonal
changes. At the monthly time scale, these results do not indicate that wind speed affected air temperature as
apparently as rainfall.
Since relative humidity is inversely related to air temperature, it conversely follows the same trend as air
temperature. Figure 4(c) shows the monthly relative humidity (%) from March 2014 until February 2015. The
lowest relative humidity (less than 80 %) was noted in March 2014, June 2014, July 2014, August 2014,
September 2014, January 2015, and February 2015, while in other months, it was greater than 80 %. Monthly
solar radiation was related to relative humidity (and rainfall), where the lower the solar radiation, the higher the
relative humidity (and rainfall) but lower the air temperature. In March 2014 the highest solar radiation (190
W/m²) was observed (Figure 4(c)) while the relative humidity was 68 % (see Figure 4(d)) and the air temperature
was 28 °C (see Figure 4(a)). This corresponded with low total rainfall of 250 mm (see Figure 4(a)).
3.4 Trends of Daily-averaged Urban Microclimate Parameters
The measured urban microclimate parameters were also analysed at the daily time scale to understand the
short-term responses of the parameters throughout one year. Among the parameters, wind speed exhibited
some variation with day of year. Maximum mean wind speed was greater than 4 m/s while the highest mean
wind speed was 12 m/s, which occurred in February 2015 (see Figure 5(a)). During this month, the mean wind
speed was 3.5 m/s (Figure 5(e)) but the air temperature was higher than 30 °C (see Figure 5(c)) while the
relative humidity was low at 78 % (Figure 5(d)). This indicates that, during this month, the weather was hot but
windy. The wind was blowing from the northwest (see Figure 5(b)), which was during the Northeast Monsoon.
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(a)
(b) (c) (d) (e)
Figure 4: Monthly (a) total rainfall (mm) and air temperature (°C), (b) mean wind speed (m/s), (c) solar radiation
(W/m²), (d) relative humidity (%), and (e) wind direction (°) observed from March 2014 to February 2015.
(a) (b)
(c) (d) (e) (f)
Figure 5: Daily (a) maximum wind speed (m/s), (b) Wind rose plot, daily-averaged (c) mean air temperature
(°C), (d) relative humidity (%), (e) mean wind speed (m/s), (f) solar radiation (W/m²) observed from March 2014
to February 2015.
4. Conclusions
In this paper, field measurements of urban microclimatic parameters (i.e., air temperature, relative humidity,
wind speed, wind direction, solar radiation, and rainfall) in Kuala Lumpur were analysed (at hourly, daily and
monthly time scales) and presented. The results show that the ranges of microclimatic parameters were large:
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average wind speed was in the range of 0 – 2 m/s, while solar radiation was between 100 to 200 W/m² and
relative humidity 60 – 90 %. This indicates that the urban microclimatic parameters were influenced by monsoon
seasons and the urban surface, which contributed to the anthropogenic heat release into the overlying
atmosphere and gave rise to the UHI phenomenon. UHI increases the risk of overheating in buildings and
consequently, energy demand for cooling. To address this issue, effective urban planning and sustainable
architecture are needed to reduce the negative impacts of UHI while simultaneously reducing energy demand.
This dataset has important applications to outline new strategies for tropical urban areas for low carbon societies
in the region.
Acknowledgements
Authors would like to acknowledge the assistance and financial support provided by UTM for this research study.
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